700 research outputs found

    EFFECT OF EDUCATIONAL INTERVENTION MEASURES ON KNOWLEDGE ABOUT RABIES AND ITS PREVENTIVE MEASURES AMONG FINAL YEAR NURSING STUDENTS OF A TERTIARY CARE HOSPITAL IN CENTRAL INDIA

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    Background: Rabies continues to be a major public health challenge with around 55,000 deaths every year. Amongst the health care providers nursing personnel are often the first point of contact and hence need to be well trained in the management of rabies cases. Methods: The present study was an educational intervention study conducted among 100 final year nursing students of a Medical College Hospital to assess the knowledge regarding rabies and its transmission, first aid measures undertaken, and pre and post exposure prophylaxis measures employed to prevent the infection. Results: 66% of the students knew about the signs and symptoms of the disease, post intervention this increased to 87%. Knowledge regarding animal bites which transmit rabies improved by 86 % mode of transmission by 49 % and first aid measures undertaken following an animal bite by 12%. 15% of the students knew about the correct site and route of PEP; post intervention 91% knew about it, 87% increase was observed as regards the dose of vaccine to be administered and 73% students correctly knew about the PEP schedule post educational intervention. Knowledge regarding groups / individuals who need to receive pre-exposure prophylaxis increased by 33% and that of the schedule of pre-exposure prophylaxis by 53%. The mean pre-intervention score was 6.95 and mean post-intervention score was 13.51; the results being statistically significant. Conclusion: Substantial improvement in knowledge about the disease was noted amongst the nursing students following the educational intervention session

    Fungal carriage on healthcare workers’ hands, clothing, stethoscopes and electronic devices during routine patient care: a study from a tertiary care center

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    Background – Invasive fungal infections are a constant threat to immunocompromised and critically ill patients. Healthcare workers caring for such patients act as conduits of transmission through their contaminated hands and belongings. Although bacterial contamination of healthcare workers is known, our knowledge about fungal carriage is sparse. Aim– To study the prevalence and type of fungal carriage on healthcare workers hands, aprons/hospital scrubs, electronic devices and stethoscopes. Methods– Healthcare workers working in Medicine ward and ICU during November and December 2019 were sampled. Hand washes were collected in Brain Heart Infusion (BHI) broth with gentamycin. Direct impression smears on blood agar were taken from aprons/hospital scrubs. Electronic devices and stethoscopes were sampled using moist cotton swabs. Subculture and plating was done on Sabarouds Dextrose Agar (SDA). Yeasts were identified using Matrix Assisted Laser Desorption Ionisation Time of Flight (MALDI TOF) and moulds were identified using microscopy. Findings – Out of 60 health care workers, 20 (33.3%) had fungal carriage. Aprons/hospital scrubs and hands were contaminated in 17 (28.3%) and 3 (5%) respectively. Aprons/hospital scrubs mainly constituted moulds belonging to species of Aspergillus. Hands were contaminated with Candida tropicalis, Candida parapsilosis and Candida auris. Electronic devices and stethoscopes had no fungal contamination. Sex (p=0.77), designation (p=0.32) and unit of surveillance (p=0.06) were not significantly associated with fungal isolation from health care workers. Conclusion – Active fungal surveillance provides prevalent carriage rates and serve as a feedback to improve our disinfection and hand hygiene practices. It also aids in identification of potential source of hospital outbreaks

    Evaluation of Anti-Hyperlipidemic Activity of Ethanolic Extract of Cassia Fistula Leaf

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    The present study was designed to perform evaluate antihyperglycemic activity of ethanolic extract of Cassia Fistula leaf. Leaf of cassia fistula was extracted using ethanol as solvent by soxhlet apparatus. The evaluation of antihyperlipidemic activity was done using High Fat Diet induced hyperlipidemia models in Wistar albino rats. The work entitled evaluation of anti-obesity activity of leaf of Cassia fistula was to determine the efficacy and safety in experimental animals. Both aqueous and alcoholic extract of leaf of Cassia Fistula (Linn.) have shown significant reduction in weight of heart and both the kidney as compared to cafeteria diet fed animals confirming their anti-obesity property. The aqueous and alcoholic extract of leaf of Cassia Fistula (Linn.) has shown significant decrease in serum levels of Total-Cholesterol, LDL-Cholesterol, VLDL-Cholesterol and Triglyceride. Keywords: Antihyperglycemic, cassia fistula, hyperlipidemia, High fat diet, alcoholic extrac

    Genetic diversity and population structure of Indian golden silkmoth (Antheraea assama)

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    Background The Indian golden saturniid silkmoth (Antheraea assama), popularly known as muga silkmoth, is a semi-domesticated silk producing insect confined to a narrow habitat range of the northeastern region of India. Owing to the prevailing socio-political problems, the muga silkworm habitats in the northeastern region have not been accessible hampering the phylogeography studies of this rare silkmoth. Recently, we have been successful in our attempt to collect muga cocoon samples, although to a limited extent, from their natural habitats. Out of 87 microsatellite markers developed previously for A. assama, 13 informative markers were employed to genotype 97 individuals from six populations and analyzed their population structure and genetic variation. Methodology/Principal Findings We observed highly significant genetic diversity in one of the populations (WWS-1, a population derived from West Garo Hills region of Meghalaya state). Further analysis with and without WWS-1 population revealed that dramatic genetic differentiation (global FST = 0.301) was due to high genetic diversity contributed by WWS-1 population. Analysis of the remaining five populations (excluding WWS-1) showed a marked reduction in the number of alleles at all the employed loci. Structure analysis showed the presence of only two clusters: one formed by WWS-1 population and the other included the remaining five populations, inferring that there is no significant genetic diversity within and between these five populations, and suggesting that these five populations are probably derived from a single population. Patterns of recent population bottlenecks were not evident in any of the six populations studied. Conclusions/Significance A. assama inhabiting the WWS-1 region revealed very high genetic diversity, and was genetically divergent from the five populations studied. The efforts should be continued to identify and study such populations from this region as well as other muga silkworm habitats. The information generated will be very useful in conservation of dwindling muga culture in Northeast India

    Computational materials discovery and development for Li and non-Li advanced battery chemistries

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    Since the discovery of batteries in the 1800s, their fascinating physical and chemical pro­perties have led to much research on their synthesis and manufacturing. Though lithium-ion batteries have been crucial for civilization, they can still not meet all the growing demands for energy storage because of the geographical distribution of lithium resources and the intrinsic limitations in the cell energy density, performance, and reliability issues. As a result, non-Li-ion batteries are becoming increasingly popular alternatives. Designing novel materials with desired properties is crucial for a quicker transition to the green energy ecosystem. Na, K, Mg, Zn, Al ion, etc. batteries are considered the most alluring and promising. This article covers all these Li, non-Li, and metal-air cell chemistries. Recently, com­putational screening has proven to be an effective tool to accelerate the discovery of active materials for all these cell types. First-principles methods such as density functional theory, molecular dynamics, and Monte Carlo simulations have become established techni­ques for the preliminary, theoretical analysis of battery systems. These computational methods generate a wealth of data that might be immensely useful in the training and vali­dating of artificial intelligence and machine learning techniques to reduce the time and capital expenditure needed for discovering advanced materials and final product develop­ment. This review aims to summarize the application of these techniques and the recent deve­lopments in computational methods to discover and develop advanced battery chemistries

    Heading towards the Safer Highways: an assessment of the Avahan prevention programme among long distance truck drivers in India

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    <p>Abstract</p> <p>Background</p> <p>Using data from two rounds of a cross-sectional, national-level survey of long-distance truck drivers, this paper examines the extent and trend of sexual risk behavior, prevalence of STI/HIV, and the linkage between exposure to HIV prevention programs and safe sex behavior.</p> <p>Methods</p> <p>Following the time location cluster sampling approach, major transshipment locations covering the bulk of India’s transport volume along four routes, North-East (NE), North-South (NS), North-West (NW) and South-East (SE) were surveyed. First round of the survey was conducted in 2007 (sample size 2066) whereas the second round was undertaken in 2009-2010 (sample size 2085). Long distance truck drivers were interviewed about their sexual behaviors, condom use practices, exposure to different HIV prevention interventions, and tested for HIV, reactive syphilis serology, <it>Neiserria gonorrhoeae</it> and <it>Chlamydia trachomatis.</it> The key variable of this evaluation study - exposure to HIV prevention interventions was divided into three categories - no exposure, less intensive exposure and intensive exposure. Data were analyzed using multiple logistic regression methods to understand the relationship between risk behavior and exposure to intervention and between program exposure and condom use.</p> <p>Results</p> <p>The proportion of truckers exposed to HIV prevention interventions has increased over time with much significant increase in the intensive exposure across all the four routes (NE: from 14.9% to 28%, P < 0.01; NS: from 20.9% to 38.1%; NW: 11.5% to 39.5%, P < 0.01; SE: 4.7% to 9.7%, P <0.05). Overall, the consistent condom use in sex with non-regular female partners too has increased over the time (paid female partners: from 67.1% to 73.2%, P <0.05; non-paid female partners: from 17.9% to 37.1%, P <0.05). At the aggregate level, the proportion tested HIV positive has declined from 3.2% to 2.5% in (p<0.10) and proportion tested positive for Syphilis too has reduced from 3.2% to 1.7% (p<0.05). Truckers who had sex with paid female partners (men at risk) were significantly more likely to get exposed to intensive program (aOR: 2.6, 95%CI 1.9-3.4) as compared to those who did not have sex with paid partners. Truckers who had sex with paid partners and exposed to intervention program were more likely to use condoms consistently (aOR: 2.1, 95% CI 1.2-3.7). The consistent condom use among respondents who travel through states with targeted interventions towards female sex workers was higher than those who travel through states with less intensive program among FSWs.</p> <p>Conclusions</p> <p>These evaluation study results highlight the ability of intensive program to reach truckers who have sex outside marriage with HIV prevention interventions and promote safe sex behaviors among them. Truckers who practice safe sex behaviors with an exposure to intensive program are less likely to suffer from STIs and HIV, which has implications for HIV prevention program with truckers’ population in India and elsewhere. The simultaneous targeted interventions among female sex workers appeared to have contributed to safe sexual practices among truckers.</p

    GlobULeS. IV. UVIT/AstroSat detection of extremely low mass white dwarf companions to blue straggler stars in NGC 362

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    We report the discovery of extremely low mass white dwarfs (ELM WDs) as a companion of blue straggler stars (BSSs) in the Galactic globular cluster NGC 362 using images from AstroSat's Ultra Violet Imaging Telescope (UVIT). Spectral energy distributions (SEDs) for 26 far-UV (FUV) bright member BSSs are created using data from the UVIT, the UltraViolet and Optical Telescope (UVOT), Gaia EDR3, and the 2.2 m ESO/MPI telescope. A single SED is fitted to 14 BSSs, whereas double-SED fits revealed ELM WDs as binary companions in 12 of the 26 BSSs studied. The effective temperature, radius, luminosity, and mass of the 12 ELM WDs are found to have a range of Teff = 9750−18,000 K, R = 0.1−0.4 R⊙, L = 0.4−3.3 L⊙, and M = 0.16−0.20 M⊙. These suggest that 12 BSSs are post-mass-transfer systems formed through the case A/B mass transfer pathway. To the best of our knowledge, this is the first finding of ELM WDs as companions to BSSs in globular clusters. This cluster is known to have a binary BSS sequence, and the 12 binary and 14 single BSSs (as classified by the SEDs) follow the mass transfer and collisional sequence of BSSs in the color–magnitude diagram. The cooling ages of nine of the ELM WDs are found to be younger than 500 Myr. Though the binary BSSs may have formed during the core collapse (∼200 Myr) or as part of the dynamical evolution of the cluster, they provide new insights on the dynamics of this cluster
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